Plot grouped centrality measures

Usage

# S3 method for class 'net_centrality_group'
plot(
  x,
  reorder = TRUE,
  ncol = 3L,
  type = c("bar", "line", "delta"),
  scales = c("free_x", "fixed"),
  palette = "Set2",
  profile_scale = c("measure", "none"),
  labels = FALSE,
  drop_zero = FALSE,
  ...
)

Arguments

x: A net_centrality_group object returned by net_centrality.
reorder: Logical. Reorder states by their mean value within each centrality panel. Default: TRUE.
ncol: Integer. Number of facet columns.
type: Plot type. "bar" shows grouped bars within each measure; "line" facets by state and draws one line per group across centrality measures ("profile" is accepted as an alias); "delta" draws a diverging bar of group differences. With two groups it is the per-state difference (second group minus first); with three or more groups it is each group's deviation from the per-state group mean, so the largest gaps stand out either way.
scales: Facet scale mode. "free_x" uses free centrality axes; "fixed" keeps a common centrality axis.
palette: Brewer palette for groups.
profile_scale: Scaling used by type = "line". "measure" rescales each centrality measure to 0–1 before drawing cross-measure profiles; "none" uses raw values.
labels: Logical. Add compact value labels.
drop_zero: Logical. Drop measures whose values are all (near) zero so empty panels do not waste space. Default: FALSE.
...: Additional arguments ignored.

Value

A ggplot object.